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Welcome to this tutorial on filtering Excel files using Python!
Have you ever found yourself sifting through a massive Excel file looking for specific rows? Maybe you needed to ticket certain orders for further action, but the thought of manually searching through the file filled you with dread. Well, fear not! In this tutorial, I'll show you how to use Python to filter an Excel file for specific order IDs and create a new file containing only the matching rows.
First, let's take a look at the code. We start by defining the search criteria - in this case, it's a list of order IDs that we want to filter for. To make this code more secure and protect sensitive information, we've replaced the actual order IDs with placeholders.
Next, we read in the Excel file using pandas, a popular Python library for data manipulation. Pandas allows us to easily filter and manipulate data in a tabular format, making it the perfect tool for working with Excel files.
Once we've loaded the data into a pandas DataFrame, we use the isin() method to filter the DataFrame for rows where the order_id column matches one of the search criteria.
If there are matching rows, we write the filtered DataFrame to a new Excel file. If there are no matching rows, we create a text file to indicate that no business needs to be ticketed.
And that's it! With just a few lines of Python code, we've filtered an Excel file for specific order IDs and created a new file containing only the matching rows.
But what if you want to use this code with different search criteria or file paths? No problem! This code is easily customizable - just update the search_criteria and file path variables to match your specific needs.
So there you have it - a quick and easy way to filter Excel files using Python. I hope you found this tutorial useful and informative. Thanks for watching, listening and happy coding!
